HyperSeg-M

Reported on 4 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Medical2 results

Semantic SegmentationonCityscapes test
Frame (fps)· 2020-12-21
36.9
best: 188.6 (STDC2-50)
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation arXiv:2012.11582
Semantic SegmentationonCityscapes test
Time (ms)· 2020-12-21
27.1
best: 4000 (DeepLab)
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation arXiv:2012.11582

Audio2 results

10-shot image generationonCityscapes test
Frame (fps)· 2020-12-21
36.9
best: 188.6 (STDC2-50)
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation arXiv:2012.11582
10-shot image generationonCityscapes test
Time (ms)· 2020-12-21
27.1
best: 4000 (DeepLab)
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation arXiv:2012.11582